To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("GSALightning")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
GSALightning provides a fast implementation of permutation-based gene set analysis for two-sample problem. This package is particularly useful when testing simultaneously a large number of gene sets, or when a large number of permutations is necessary for more accurate p-values estimation.
Author: Billy Heung Wing Chang
Maintainer: Billy Heung Wing Chang <billyheungwing at gmail.com>
Citation (from within R,
enter citation("GSALightning")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("GSALightning")
HTML | R Script | Vignette Title |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | BiologicalQuestion, DifferentialExpression, GeneExpression, GeneSetEnrichment, Software, Transcription |
Version | 1.4.0 |
In Bioconductor since | BioC 3.3 (R-3.3) (1.5 years) |
License | GPL (>=2) |
Depends | R (>= 3.3.0) |
Imports | Matrix, data.table, stats |
LinkingTo | |
Suggests | knitr, rmarkdown |
SystemRequirements | |
Enhances | |
URL | https://github.com/billyhw/GSALightning |
BugReports | https://github.com/billyhw/GSALightning/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | GSALightning_1.4.0.tar.gz |
Windows Binary | GSALightning_1.4.0.zip |
Mac OS X 10.11 (El Capitan) | GSALightning_1.4.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/GSALightning |
Package Short Url | http://bioconductor.org/packages/GSALightning/ |
Package Downloads Report | Download Stats |
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